A Bayesian Theory of Change Detection in Statistically Periodic Random Processes von Banerjee, Taposh, Gurram, Prudhvi, Whipps, Gene T.

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Minimax asymptotically optimal quickest change detection for statistically periodic data von Banerjee, Taposh, Gurram, Prudhvi, Whipps, Gene

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Interpretable and High-Performance Hate and Offensive Speech Detection von Babaeianjelodar, Marzieh, Poorna Prudhvi, Gurram, Lorenz, Stephen, Chen, Keyu, Mondal, Sumona, Dey, Soumyabrata, Kumar, Navin

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Sparse Kernel-Based Ensemble Learning With Fully Optimized Kernel Parameters for Hyperspectral Classification Problems von Gurram, Prudhvi, Kwon, Heesung

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Improving cross-modal face recognition using polarimetric imaging von Short, Nathaniel, Hu, Shuowen, Gurram, Prudhvi, Gurton, Kristan, Chan, Alex

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Algorithms for Multispectral and Hyperspectral Image Analysis von Kwon, Heesung, Hu, Xiaofei, Theiler, James, Zare, Alina, Gurram, Prudhvi

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Contextual SVM Using Hilbert Space Embedding for Hyperspectral Classification von Gurram, P., Heesung Kwon

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Non-Gaussian Linear Mixing Models for Hyperspectral Images von Bajorski, Peter

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Sparse kernel learning-based feature selection for anomaly detection von Zhimin Peng, Gurram, Prudhvi, Heesung Kwon, Wotao Yin

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Human Action Attribute Learning From Video Data Using Low-Rank Representations von Wu, Tong, Prudhvi Gurram, Rao, Raghuveer M, Bajwa, Waheed U

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Support-Vector-Based Hyperspectral Anomaly Detection Using Optimized Kernel Parameters von Gurram, P., Heesung Kwon

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Sparse Kernel-Based Hyperspectral Anomaly Detection von Gurram, P., Heesung Kwon, Han, T.

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Semiautomated system for three-dimensional modeling of buildings from aerial video von Gurram, Prudhvi, Saber, Eli, Rhody, Harvey

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A Segment-Based Mesh Design for Building Parallel-Perspective Stereo Mosaics von Gurram, P., Saber, E., Rhody, H.

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Distributed Deep Learning with Event-Triggered Communication von George, Jemin, Gurram, Prudhvi

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Minimax-Optimal Algorithms for Detecting Changes in Statistically Periodic Random Processes von Banerjee, Taposh, Gurram, Prudhvi, Whipps, Gene

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A Bayesian Theory of Change Detection in Statistically Periodic Random Processes von Banerjee, Taposh, Gurram, Prudhvi, Whipps, Gene

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Explainable and High-Performance Hate and Offensive Speech Detection von Babaeianjelodar, Marzieh, Prudhvi, Gurram Poorna, Lorenz, Stephen, Chen, Keyu, Mondal, Sumona, Dey, Soumyabrata, Kumar, Navin

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Distributed Deep Learning with Event-Triggered Communication von Jemin George, Prudhvi Gurram

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A Decentralized Approach to Bayesian Learning von Parayil, Anjaly, Bai, He, George, Jemin, Gurram, Prudhvi

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